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SSSSS [86.1K]
3 years ago
10

There are 50 pennies in a roll how many pennies are in a 6rolls

Mathematics
1 answer:
Viktor [21]3 years ago
7 0
300 pennies multiply 6×50=300
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17/9 15 divided 6 divided 30 divided and 3^3 from least to greatest
qaws [65]

I assume you mean: Order the following from least to greatest:

17/9, 15 divided by 6, 30, and 3^3

17/9 = 1 8/9

15/6 = 2 1/2

3^3 = 9

So it would be: 17/9, 15 divided by 6, 3^3, and 30

Make necessary adjustments if it was actually 6/30; the wording was confusing.


8 0
3 years ago
Solving the equation 5x + 4 = 19​
user100 [1]

Step-by-step explanation:

5x = 19 - 4

5x = 15

x = 15/ 5

= 3

hope it helps!

6 0
2 years ago
Read 2 more answers
Each of these statements are part of True/False game. Which statement is correct?
sergey [27]

Answer:

E. (The function is exponetial)

Step-by-step explanation:

We look at the output values and subtract them from their previous value to see it's slope.

6-2 = 4

12-6 = 6

4 ≠ 6, meaning that the slope is not constant.

4 < 6, meaning that the slope is increasing, meaning the function is exponential.

5 0
3 years ago
Assume that blood pressure readings are normally distributed with a mean of 123 and a standard deviation of 9.6. If 144 people a
Vanyuwa [196]

Answer:

The probability is 0.9938

Step-by-step explanation:

In this question, we are asked to calculate the probability that the mean blood pressure readings of a group of people is less than a certain reading.

To calculate this, we use the z score.

Mathematically;

z = (mean - value)/(standard deviation/√N)

From the question, we can identify that the mean is 125, the value is 123 , the standard deviation is 9.6 and N ( total population is 144)

Let’s plug these values;

z = (125-123)/(9.6/√144) = 2.5

Now we proceed to calculate the probability with a s score less than 2.5 using statistical tables

P(z<2.5) = 0.9938

8 0
3 years ago
The distribution of individual incomes in the United States is strongly skewed to the right. In 2013, the mean and median income
vesna_86 [32]

Answer:

The mean would be $322,343 and the median would be $196,723.

Step-by-step explanation:

Since the distribution of individual incomes is skewed to the right, it means that the distribution has a long right tail.

Drawing a distribution with this characteristic, we can see how the majority of the data falls into the left side of the graphic, meaning that a lot of people receive less income. Following this reasoning, the mean which is the amount of the data (in this case individual income) divided by the amount of people, would be the higher number, meaning that the few people who earn more money would influence in making this number higher.

Following this reasoning, the median (which is not influenced by this difference) would be the less high number.

5 0
3 years ago
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